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ryanmichaeljames

Dataverse MCP Server

dataverse_get_plugin_trace_log_setting

Read-onlyIdempotent

Retrieves the organization's plug-in trace log verbosity level: off (0), exception (1), or all (2).

Instructions

Get the current plug-in trace log setting for the Dataverse organization.

Returns the verbosity level: off (0), exception (1), or all (2).

This setting controls whether Dataverse records plug-in execution traces in the plugintracelog entity. Use dataverse_set_plugin_trace_log_setting to change the setting, and dataverse_list_plugin_trace_logs to read the logs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate read-only, idempotent, non-destructive behavior. The description adds value by detailing the return values (off, exception, all) beyond the annotations but does not cover all behavioral aspects (e.g., rate limiting).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is efficient, with three concise sentences that front-load the purpose, then provide return details and sibling references. No unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple nature of this read operation, the description is complete: it explains the purpose, return values, and relationship to sibling tools. The output schema likely covers return structure, so no additional explanation needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite schema description coverage being 0% per context, the description does not add any semantics for the single parameter dataverse_url beyond what the schema already provides (which is a basic URL format). The description fails to compensate for the documented 0% coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool gets the current plug-in trace log setting for the organization, using specific verbs and resource. It distinguishes from sibling tools by naming dataverse_set_plugin_trace_log_setting and dataverse_list_plugin_trace_logs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly tells when to use this tool (to get the setting) and mentions specific alternatives for changing or reading logs, providing excellent guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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